Revant Gupta

Machine Learning Scientist at Relation

London, England, United Kingdom
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Summary

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Senior
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Top School
Revant Gupta is a Machine Learning Scientist with nine years of experience applying computational genomics, bioinformatics, and deep learning to decode regulatory architectures from high-dimensional single-cell multi-omics. He has led cross-functional efforts at Stanford Medicine and contributed tools like Cytopath for simulating single-cell RNA trajectories while translating research into industry applications at Scailyte and Relation. His work spans in-silico design of regulatory sequences, modeling gene regulatory dynamics from perturbations, and benchmarking ML models for single-cell simulations, with applications in immune engineering and cellular reprogramming. Trained across leading European institutions and holding a PhD in Computer Science from the University of Tübingen, he brings a rare blend of wet-lab-informed molecular knowledge and rigorous ML engineering. Notably, he builds simulation-first tools that help bridge experimental design and therapeutic discovery, accelerating how we test hypotheses in silico before moving to the bench.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at Karolinska Institutet
bookBITS Pilani, Birla Institute of Technology and Science
bookDoctor rerum naturalium (PhD) Computer Science, Doctor rerum naturalium (PhD) Computer Science at University of Tübingen
bookMaster of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at KTH Royal Institute of Technology
bookMaster of Science Molecular Techniques in Life Science, Master of Science Molecular Techniques in Life Science at Stockholm University
languagesGerman, Hindi, English
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Github Skills (11)

rna-velocity10
hidden-markov-model9
single-cell-genomics9
simulation8
markov-chain8
sequencing7
rna-seq7
inference6
evaluation-framework6
consensus4
matrix-factorization4

Programming languages (4)

RJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:4 pushes, 1 branch in 5 years 9 months
Moduating gene expression via in-silico mutagenesis
Contributions:2 reviews, 1 PR, 16 pushes in 1 year 4 months
dna-sequenceinsilico-mutagenesis
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